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SASO
2007
IEEE
14 years 16 days ago
A Space- and Time-Continuous Model of Self-Organizing Robot Swarms for Design Support
— Designing and implementing artificial self-organizing systems is a challenging task since they typically behave nonintuitive and no theoretical foundations exist. Predicting a...
Heiko Hamann, Heinz Wörn
GI
1998
Springer
13 years 10 months ago
Self-Organizing Data Mining
"KnowledgeMiner" was designed to support the knowledge extraction process on a highly automated level. Implemented are 3 different GMDH-type self-organizing modeling algo...
Frank Lemke, Johann-Adolf Müller
JDCTA
2010
464views more  JDCTA 2010»
13 years 1 months ago
A New Agglomerative Hierarchical Clustering Algorithm Implementation based on the Map Reduce Framework
Text clustering is one of the difficult and hot research fields in the text mining research. Combing Map Reduce framework and the neuron initialization method of VPSOM (vector pre...
Hui Gao, Jun Jiang, Li She, Yan Fu
ESANN
2006
13 years 7 months ago
An algorithm for fast and reliable ESOM learning
The training of Emergent Self-organizing Maps (ESOM ) with large datasets can be a computationally demanding task. Batch learning may be used to speed up training. It is demonstrat...
Mario Nöcker, Fabian Mörchen, Alfred Ult...
KI
2007
Springer
14 years 12 days ago
Relational Neural Gas
Abstract. Prototype-based clustering algorithms such as the Self Organizing Map (SOM) or Neural Gas (NG) offer powerful tools for automated data inspection. The distribution of pr...
Barbara Hammer, Alexander Hasenfuss